{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import scipy.signal as signal\n",
    "import scipy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def realignment_coeffs(data):\n",
    "    \"\"\"\n",
    "    对系数进行隔列插零\n",
    "    \"\"\"\n",
    "    z = np.zeros(data.shape[0])\n",
    "    for i in range(data.shape[1]-1,0,-1):\n",
    "        data = np.insert(data,i,z,axis=1)\n",
    "    return data\n",
    "\n",
    "def realignment_data(data,channel_num):\n",
    "    disp_len = int(np.ceil(data.size / channel_num))\n",
    "    patch_size = int(disp_len * channel_num - data.size)\n",
    "    patch_data = np.concatenate((data, np.zeros(patch_size)))\n",
    "    polyphase_data = np.zeros(patch_data.size*2) \n",
    "    half = (channel_num // 2)\n",
    "    for i in range(patch_data.size // half):\n",
    "        if(i == (patch_data.size // half - 1)):\n",
    "            polyphase_data[i*channel_num+half:(i+1)*channel_num] = patch_data[i*half:(i+1)*half]\n",
    "        else:\n",
    "            polyphase_data[i*channel_num+half:(i+1)*channel_num+half] = list(patch_data[i*half:(i+1)*half])*2\n",
    "    polyphase_data = polyphase_data.reshape( (channel_num, -1), order='F')\n",
    "    polyphase_data = np.flip(polyphase_data,0)\n",
    "    return polyphase_data\n",
    "\n",
    "def gen_filter_coeffs(numtaps, M):\n",
    "    coeffs = scipy.signal.firwin(numtaps*M, cutoff=2.0/M, window=\"hamming\")\n",
    "    coeffs = np.reshape(coeffs, (M, -1), order='F')\n",
    "    coeffs = realignment_coeffs(coeffs)\n",
    "    return coeffs\n",
    "\n",
    "def my_coeffs(coeffs, M):\n",
    "    coeffs = np.reshape(coeffs, (M, -1), order='F')\n",
    "    coeffs = realignment_coeffs(coeffs)\n",
    "    return coeffs\n",
    "\n",
    "def polyphase_filter(data,filter_coeffs,channel_num):   \n",
    "     \n",
    "    polyphase_data = realignment_data(data, channel_num)\n",
    "    polyphase_data = polyphase_data.reshape( (channel_num, -1), order='F')\n",
    "    \n",
    "    # print(polyphase_data)\n",
    "    \n",
    "    filt_data = np.zeros(polyphase_data.shape)\n",
    "    for k in range(channel_num):\n",
    "        filt_data[k] = scipy.signal.lfilter(filter_coeffs[k], 1, polyphase_data[k])\n",
    "        # filt_data[k] = scipy.signal.rfilter(filter_coeffs[k], 1, filt_data[k])\n",
    "\n",
    "    dispatch_data = np.fft.ifft(filt_data, axis=0)\n",
    "    return dispatch_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def apply_chirp(freq,size,bw=400.0,fc=1382.0):\n",
    "    dm = 2.64476\n",
    "    dm_dispersion = 2.41e-4\n",
    "    dispersion_per_MHz = 1e6 * dm / dm_dispersion\n",
    "    phasors = np.zeros((size),dtype=complex)\n",
    "    binwidth = -bw / size\n",
    "    coeff = 2 * np.pi * dispersion_per_MHz / (fc * fc);\n",
    "    for i in range (size):\n",
    "        f = i * binwidth + 0.5 * bw\n",
    "        phasors[i] = np.exp(1j * coeff * f * f / (fc+f));\n",
    "        if i == 0:\n",
    "            phasors[i] = 0; \n",
    "        freq[i] = phasors[i] * freq[i];\n",
    "\n",
    "def get_period_size(bw):\n",
    "    period = 0.00575730363767324\n",
    "    return int(period * bw * 1e6)\n",
    "\n",
    "def fold_data(data,blocks,psize):\n",
    "    cur = 0\n",
    "    pdata = np.zeros((psize))\n",
    "    pnum = np.zeros((psize))\n",
    "    for i in range(blocks):\n",
    "        if(cur >= psize):\n",
    "            cur = 0\n",
    "        pnum[cur] = pnum[cur] + 1\n",
    "        pdata[cur] = (pnum[cur] - 1) * pdata[cur] / pnum[cur] + data[i] / pnum[cur]\n",
    "        cur = cur + 1 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def kernel(data,coeffs,nchannels):\n",
    "       # coeffs = gen_filter_coeffs(ntaps,channel_num)  \n",
    "    subfreq = polyphase_filter(data,coeffs,nchannels)\n",
    "    freq_size = subfreq.shape[1]\n",
    "    N = int(freq_size * nchannels // 4)\n",
    "    myfreq = np.zeros((N), dtype=complex)\n",
    "    start = 0\n",
    "    end = 0\n",
    "    mystart = 0\n",
    "    myend = 0\n",
    "    bw = 0\n",
    "    for i in range(nchannels // 2 + 1):\n",
    "        mystart += bw\n",
    "        if i == 0:\n",
    "            start = freq_size // 2\n",
    "            end = freq_size // 2 + freq_size // 4\n",
    "        elif i == nchannels // 2:\n",
    "            start = freq_size // 2 - freq_size // 4\n",
    "            end = freq_size // 2 \n",
    "        else:\n",
    "            start = freq_size // 2 - freq_size // 4\n",
    "            end = freq_size // 2 + freq_size // 4\n",
    "        bw = end - start\n",
    "        myend = mystart + bw\n",
    "        \n",
    "        if i % 2 == 0:\n",
    "            myfreq[mystart:myend] = scipy.fft.fftshift(scipy.fft.fft(subfreq[i]))[start:end]\n",
    "        else:\n",
    "            myfreq[mystart:myend] = scipy.fft.fft(subfreq[i])[start:end]\n",
    "    # opfb_t = np.abs(scipy.fft.fft(myfreq))\n",
    "    \n",
    "    return myfreq,subfreq"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def integral_data(data,size,n=1024):\n",
    "    data = np.abs(data)\n",
    "    bins = size // n\n",
    "    out = np.zeros((1024))\n",
    "    sum = 0\n",
    "    index = 0\n",
    "    i = 0\n",
    "    while(1):\n",
    "        sum = 0\n",
    "        j = 0\n",
    "        while(1):\n",
    "            if j > bins or i > (bins * (n-1)):\n",
    "                break\n",
    "            sum += data[i]\n",
    "            i += 1\n",
    "            j += 1\n",
    "        out[index] = sum / j\n",
    "        index += 1\n",
    "        # print(i)\n",
    "        if i > (bins * (n-1)):\n",
    "            break\n",
    "    sum = 0\n",
    "    while(1):\n",
    "        if i >= size:\n",
    "            break\n",
    "        sum += data[i]\n",
    "        i += 1\n",
    "    \n",
    "    out[n-1] = sum / (size - n * bins + bins);\n",
    "    return out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "coeffs = np.loadtxt(\"coeffs.txt\")\n",
    "data = np.loadtxt(\"time_24.txt\")\n",
    "ocoeffs = my_coeffs(coeffs,16)\n",
    "fullfreq,myfreq = kernel(data,ocoeffs,16)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "ifull = integral_data(fullfreq,fullfreq.shape[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x133c84610>]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,5))\n",
    "plt.plot(ifull)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x133ed2590>]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "psize = get_period_size(400.0)\n",
    "apply_chirp(fullfreq,fullfreq.shape[0])\n",
    "tfull = np.fft.ifft(fullfreq)\n",
    "idata = integral_data(tfull,tfull.shape[0])\n",
    "plt.figure(figsize=(10,5))\n",
    "plt.plot(idata)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.10.8 64-bit",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.8"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "b0fa6594d8f4cbf19f97940f81e996739fb7646882a419484c72d19e05852a7e"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
